Research and development of heterogeneous computing, artificial intelligence algorithms and application software, including: development of machine learning algorithm libraries, tuning tools, and communication libraries for heterogeneous architectures (GPUs, DCUs, and Cambrian chips, etc.); and development of open-source frameworks for neural networks for scientific discovery to support large-scale training.

【1】Jian Zhang, Chunbao Zhou, Yangang Wang, Lili Ju, Qiang Du, Xuebin Chi, Dongsheng Xu, Dexun Chen, Yong Liu, Zhao Liu. Extreme-Scale Phase Field Simulations of Coarsening Dynamics on the Sunway TaihuLight Supercomputer, ACM Gordon Bell Finalist, 2016. 

【2】Zhou C, Lang X, Wang Y, Zhu C, gPGA: GPU Accelerated Population Genetics Analyses, PLoS ONE, 2015, 10(8): e0135028. 

【3】Xiang Wu, Chunbao Zhou, Jian Zhang, Zhonghua Lu, Xuebin Chi. COMPACT EXPONENTIAL TIME DIFFERENCE METHODS FOR TWO PHASE FIELD MODELS, Journal of Numerical Methods and Computer Applications, 2016, 37(2): 125-139. (in Chinese) Cheng Ling, Chunbao Zhou, Arong Luo, Guoguang Zhao, Tsuyoshi Hamada, Xiaoyan Zhu, Optimizing the Bayesian Inference of Phylogeny on Graphic Processors, CCGrid2015, Shenzhen, 2015. 

【4】G.M. Han, Y.F. Zhao, C.B. Zhou, De-Ye Lin, X.Y. Zhu, J. Zhang, S.Y. Hu, H.F. Song. Phase-field modeling of stacking structure formation and transition of -hydride precipitates in zirconium. COMPUTATIONAL MATERIALS SCIENCE.